高可靠性烧结金属丝网防爆元件的应用研究

烧结金属多孔元件作为隔爆元件的应用，很好地满足了火焰过滤元件的性能要求，进一步拓宽了烧结金属多孔元件的应用领域，章在论述其性能特点、结构类型的同时，对其在微孔结构设计上的差异也进行了描述。     

SLIMLINE+K型多功能撬装双滚筒试井绞车简介

SLIMLINE K型多功能撬装双滚筒试井绞车为整体式结构，多用于海上平台，可进行电子压力计和机械压力计试井，以及井下工具的投放、震击、打捞等完井作业。该试井绞车采用先进的数控技术，使起下纲丝／电缆实现自动化控制，该系统能够对斜井、定向井进行随钻测试。     

制备单根大重量喷涂钼丝的生产研究

全面系统地介绍了“大坯料轧制开坯-大加工率变形-长线拉伸”制造喷涂钼丝的工艺。重点阐述了Y370、Y250型三辊连轧机实现一火轧制开坯和长线拉伸增加在线碱洗工序对提高喷涂钼丝内部组织结构和外部表面质量的影响。分析了工艺中出现的问题，提出了相应的解决办法。     

Adaptive Edge Detectors for Piecewise Smooth Data Based on the minmod Limiter

We are concerned with the detection of edges—the location and amplitudes of jump discontinuities of piecewise smooth data realized in terms of its discrete grid values. We discuss the interplay between two approaches. One approach, realized in the physical space, is based on local differences and is typically limited to low-order of accuracy. An alternative approach developed in our previous work [Gelb and Tadmor, Appl. Comp. Harmonic Anal., 7, 101–135 (1999)] and realized in the dual Fourier space, is based on concentration factors; with a proper choice of concentration factors one can achieve higher-orders—in fact in [Gelb and Tadmor, SIAM J. Numer. Anal., 38, 1389–1408 (2001)] we constructed exponentially accurate edge detectors. Since the stencil of these highly-accurate detectors is global, an outside threshold parameter is required to avoid oscillations in the immediate neighborhood of discontinuities. In this paper we introduce an adaptive edge detection procedure based on a cross-breading between the local and global detectors. This is achieved by using the minmod limiter to suppress spurious oscillations near discontinuities while retaining high-order accuracy away from the jumps. The resulting method provides a family of robust, parameter-free edge-detectors for piecewise smooth data. We conclude with a series of one- and two-dimensional simulations.To David Gottlieb, on his 60th birthday, with friendship and appreciation.     

一种新的基于直觉模糊集的作战决策算法

针对现有作战决策算法存在的不足,提出了一种新的基于直觉模糊集的作战决策算法.用直觉模糊值表示可行方案指标的不确定信息,综合考虑了方案满足指标的可能性、不满足的可能性和未知的可能性3个方面的因素,给出了直觉模糊决策矩阵的建立方法和可行方案优劣度排序方法.实例及实际应用证明了算法的有效性与可行性.     

高炉煤气净化系统新技术研究与应用

济钢第二炼铁厂针对原高炉煤气净化系统处理能力不足等问题，研制了新的煤气净化系统。该系统采用单根文氏管、串联花环、丝网脱水器湿法除尘，取代原串联文氏管电除尘净化工艺。应用表明，新系统运行安全，净煤气含尘量小于10^mg／m^3，含水量小于5g／m^3，高炉风温提高90℃。     

On the Consistency of the Normalized Eight-Point Algorithm

A recently proposed argument to explain the improved performance of the eight-point algorithm that results from using normalized data (Chojnacki, W., et al. in IEEE Trans. Pattern Anal. Mach. Intell. 25(9):1172–1177, 2003) relies upon adoption of a certain model for statistical data distribution. Under this model, the cost function that underlies the algorithm operating on the normalized data is statistically more advantageous than the cost function that underpins the algorithm using unnormalized data. Here we extend this explanation by introducing a more refined, structured model for data distribution. Under the extended model, the normalized eight-point algorithm turns out to be approximately consistent in a statistical sense. The proposed extension provides a link between the existing statistical rationalization of the normalized eight-point algorithm and the approach of Mühlich and Mester for enhancing total least squares estimation methods via equilibration. The paper forms part of a wider effort to rationalize and interrelate foundational methods in vision parameter estimation.     

EM procedures using mean field-like approximations for Markov model-based image segmentation

Image segmentation using Markov random fields involves parameter estimation in hidden Markov models for which the EM algorithm is widely used. In practice, difficulties arise due to the dependence structure in the models and approximations are required. Using ideas from the mean field approximation principle, we propose a class of EM-like algorithms in which the computation reduces to dealing with systems of independent variables. Within this class, the simulated field algorithm is a new stochastic algorithm which appears to be the most promising for its good performance and speed, on synthetic and real image experiments.     

Active set truncated-Newton algorithm for simultaneous optimization of distillation column

An active set truncated-Newton algorithm (ASTNA) is proposed to solve the large-scale bound constrained sub-problems. The global convergence of the algorithm is obtained and two groups of numerical experiments are made for the various large-scale problems of varying size. The comparison results between ASTNA and the subspace limited memory quasi-Newton algorithm and between the modified augmented Lagrange multiplier methods combined with ASTNA and the modified barrier function method show the stability and effectiveness of ASTNA for simultaneous optimization of distillation column.